Triple
T10482266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down to Earth (2001 film) |
E247200
|
entity |
| Predicate | liveActionOrAnimation |
P48902
|
FINISHED |
| Object | live-action |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: live-action | Statement: [Down to Earth (2001 film), liveActionOrAnimation, live-action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liveActionOrAnimation Context triple: [Down to Earth (2001 film), liveActionOrAnimation, live-action]
-
A.
liveAction
chosen
Indicates that an entity is a live-action (non-animated) adaptation, portrayal, or version of another entity.
-
B.
liveActionModelFor
Indicates that one entity serves as the live-action (real-world filmed) representation or counterpart of another entity, typically an animated or non-live-action version.
-
C.
frameOfAction
Indicates the contextual situation, setting, or circumstances within which an action or event takes place.
-
D.
liveActionCoHost
Indicates that two or more entities jointly host a live-action event, show, or production together.
-
E.
theatricalMovement
Indicates a relationship where an entity is associated with, participates in, or exemplifies a particular theatrical movement or style within the performing arts.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095d21c08190a0b2f3e57fabb1d8 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:22 p.m.